Francesco Palumbo

802 total citations
32 papers, 412 citations indexed

About

Francesco Palumbo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Francesco Palumbo has authored 32 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Francesco Palumbo's work include Advanced Clustering Algorithms Research (6 papers), Bayesian Methods and Mixture Models (5 papers) and Face and Expression Recognition (4 papers). Francesco Palumbo is often cited by papers focused on Advanced Clustering Algorithms Research (6 papers), Bayesian Methods and Mixture Models (5 papers) and Face and Expression Recognition (4 papers). Francesco Palumbo collaborates with scholars based in Italy, United States and Canada. Francesco Palumbo's co-authors include Carlo Natale Lauro, Alfonso Iodice D’Enza, Michel van de Velden, Giancarlo Ragozini, Daniela Caso, Cristina Tortora, A. Mazzarella, Mark Conner, Valentina Carfora and Anna Rosa Donizzetti and has published in prestigious journals such as Appetite, Applied Soft Computing and Psychometrika.

In The Last Decade

Francesco Palumbo

29 papers receiving 403 citations

Peers

Francesco Palumbo
Comparison fields: 5 of 130
  • Artificial Intelligence 108
  • Statistics and Probability 52
  • Public Health, Environmental and Occupational Health 38
  • Oncology 36
  • Computer Vision and Pattern Recognition 30
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Ruoqing Zhu United States
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Linda C. Malone United States
Nicola Lunardon Italy
Giuseppe Casalicchio Germany
Longhai Li Canada
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Citations per field, relative to Francesco Palumbo
Francesco Palumbo · 1×
Citations per year, relative to Francesco Palumbo
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Countries citing papers authored by Francesco Palumbo

Since Specialization
Citations

This map shows the geographic impact of Francesco Palumbo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Francesco Palumbo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Palumbo more than expected).

Fields of papers citing papers by Francesco Palumbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco Palumbo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Francesco Palumbo. The network helps show where Francesco Palumbo may publish in the future.

Co-authorship network of co-authors of Francesco Palumbo

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Palumbo. A scholar is included among the top collaborators of Francesco Palumbo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesco Palumbo. Francesco Palumbo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 1
4 12
5 37
6 0
7 3
8 1
9 6
10 1
11 13
12 25
13 9
14 2
15 53
16 28
17 16
18 1
19 9
20 19

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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